Courses
Notes:
 F1 Visa Holders who participate in an offcampus internship must take a course related to the internship to satisfy the curricular credit requirement. For mathematics or statistics majors, the course is Math 297. Please read the full description of the course here: Math 297 Assessment and Communication of External Mathematical Activity
 For information about placement into Calculus or Statistics, please visit the Math/Stats Placement page.
 2016–2017 Courses:
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MATH 101: Calculus with Problem Solving
An introduction to the central ideas of calculus with review and practice of those skills needed for the continued study of calculus. Problem solving strategies will be emphasized. (Meets Monday through Friday). Prerequisites: Not open to students who have received credit for Math 111. 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · D. Haunsperger 
MATH 106: Introduction to Mathematics
This course is designed to provide an understanding of fundamental concepts, and examples of applications, of mathematics. It attempts to provide insights into the nature of mathematics and its relation to other branches of knowledge, and helps students develop skill in mathematical reasoning. No prerequisites. 6 credit; Formal or Statistical Reasoning; not offered 2016–2017 
MATH 111: Introduction to Calculus
An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus. Prerequisites: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101. 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017 · R. Thompson, P. Shereen 
MATH 115: Statistics: Concepts and Applications
Introduction to statistical concepts with emphasis on understanding and interpretation of statistical information, especially in the context of media reports and scholarly articles. Examples taken from a widerange of areas such as public policy, health and medicine, and the social and natural sciences. Computationally less intensive than Math 215. Students will learn how to use statistical software. Topics include: Uncertainty and variability, statistical graphs, types of studies, correlation and linear regression, twoway tables, and inference. Prerequisites: Not open to students who have already received credit for Mathematics 211, Mathematics 215, Psychology 200/201, or Sociology/Anthropology 239 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016 · B. Dobrow 
MATH 121: Calculus II
Integration techniques, improper integrals, the calculus of the logarithmic, exponential and inverse trigonometric functions, applications, Taylor polynomials and infinite series. Prerequisites: Mathematics 101, 111 or placement via Calculus Placement Exam # 2 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017, Spring 2017 · E. Egge, R. Jones, R. Thompson, L. Sattler 
MATH 206: A Tour of Mathematics
A series of eight lectures intended for students considering a Mathematics major. The emphasis will be on presenting various striking ideas, concepts and results in modern mathematics, rather than on developing extensive knowledge or techniques in any particular subject area. 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Winter 2017 · M. Krusemeyer 
MATH 211: Introduction to Multivariable Calculus
Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisites: Mathematics 121 or placement via Calculus Placement Exam #3 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017, Spring 2017 · J. Davis, L. Sattler, P. Shereen, H. Wong, S. Patterson, M. Krusemeyer, E. Egge 
MATH 215: Introduction to Statistics
Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and twoway tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265275 ProbabilityStatistics sequence.
Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275. 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016, Winter 2017, Spring 2017 · L. Chihara, A. Poppick, K. St. Clair 
MATH 232: Linear Algebra
Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 210 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017, Spring 2017 · M. Krusemeyer, B. Dobrow, S. Patterson, P. Shereen 
MATH 236: Mathematical Structures
Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics. Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017, Spring 2017 · H. Wong, M. Krusemeyer, R. Jones, D. HaunspergerExtended departmental description for MATH 236
This course is intended to introduce students to certain features of the mathematical enterprise including: (1) basic structures in mathematics; (2) the nature of formal arguments that establish the validity of theorems; (3) strategies for problemssolving; and (4) analogies that exist among various mathematical concepts. Amidst all of this mathematical formality, you will discover some remarkable facts. In particular, you will learn that when Buzz Lightyear said "To infinity and beyond!", he was being mathematically precise.
Math 236 is the last course in the math sequence that is required of all math majors, and is the first course that suggests what being a math major (as opposed to a math user) is all about. If you are undecided about majoring in math, taking this course before you make the decision might prove helpful.

MATH 241: Ordinary Differential Equations
An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis. Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2017, Spring 2017 · S. Patterson, R. Thompson 
MATH 245: Applied Regression Analysis
A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze reallife data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016, Winter 2017, Spring 2017 · K. St. Clair, A. Poppick, L. Chihara 
MATH 251: Chaotic Dynamics
An exploration of the behavior of nonlinear dynamical systems. Topics include one and twodimensional dynamics, Sarkovskii's Theorem, chaos, symbolic dynamics,and the Hénon Map.
Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · S. Kennedy 
MATH 255: Introduction to Sampling Techniques
Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like twophase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chisquare tests.
Prerequisites: Mathematics 215 or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; not offered 2016–2017 
MATH 261: Functions of a Complex Variable
Algebra and geometry of complex numbers, analytic functions, complex integration, series, residues, applications. Not open to students who have already received credits for Mathematics 361. Prerequisites: Mathematics 210 or 211 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · S. Patterson 
MATH 265: Probability
Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions. Prerequisites: Mathematics 210 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2016, Winter 2017 · L. Chihara, B. Dobrow 
MATH 275: Introduction to Statistical Inference
Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to reallife data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodnessoffit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets. Prerequisites: Mathematics 265 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2017, Spring 2017 · A. Poppick, B. Dobrow 
MATH 280: Statistical Consulting
Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics. Prerequisites: Mathematics 245 and instructor permission 2 credit; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016, Winter 2017, Spring 2017 · K. St. Clair 
MATH 295: Coding Theory
This course is an introduction to errorcorrecting codes. The course will cover topics including linear codes, Hamming codes and cyclic codes. Additional topics may include lowdensity paritycheck codes and perfect codes.
Prerequisites: Mathematics 232 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · P. Shereen 
MATH 297: Assessment and Communication of External Mathematical Activity
An independent study course intended for students who have completed an external activity related to the mathematics major (for example, an internship or an externship) to communicate (both in written and oral forms) and assess their mathematical learning from that activity. Prerequisites: Permission of department chair and homework in advance of the external mathematical activity 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Fall 2016, Winter 2017, Spring 2017 · L. Chihara, K. St. Clair 
MATH 312: Elementary Theory of Numbers
Properties of the integers. Topics include the Euclidean algorithm, classical unsolved problems in number theory, prime factorization, Diophantine equations, congruences, divisibility, Euler's phi function and other multiplicative functions, primitive roots, and quadratic reciprocity. Other topics may include integers as sums of squares, continued fractions, distribution of primes, integers in extension fields, padic numbers. Prerequisites: Mathematics 236 or consent of the instructor. 6 credit; Formal or Statistical Reasoning; offered Winter 2017 · M. Krusemeyer 
MATH 315: Topics Probability/Statistics: Data Science
This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include data scraping and manipulation, unstructured data, data visualization using packages such as ggplots, crossvalidation, classification, and network analysis.
Prerequisites: Mathematics 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2016 · K. St. Clair 
MATH 321: Real Analysis I
A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions. Prerequisites: Mathematics 236 or permission of the instructor 6 credit; Formal or Statistical Reasoning; offered Winter 2017 · H. Wong 
MATH 331: Real Analysis II
Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces. Prerequisites: Mathematics 321 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · L. Sattler 
MATH 332: Advanced Linear Algebra
Selected topics beyond the material of Mathematics 232. Topics may include the CayleyHamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinitedimensional spaces, and various applications. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; not offered 2016–2017 
MATH 333: Combinatorial Theory
The study of structures involving finite sets. Counting techniques, including generating functions, recurrence relations, and the inclusionexclusion principle; existence criteria, including Ramsey's theorem and the pigeonhole principle. Some combinatorial identities and bijective proofs. Other topics may include graph and/or network theory, Hall's ("marriage") theorem, partitions, and hypergeometric series. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · E. Egge 
MATH 341: Fourier Series and Boundary Value Problems
Fourier series and their applications to boundary value problems in partial differential equations. Topics include separation of variables, orthogonal sets of functions, representations of functions in series of orthogonal functions, SturmLiouville theory, and Fourier transforms. Prerequisites: Mathematics 241 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · R. Thompson 
MATH 342: Abstract Algebra I
Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · M. Krusemeyer 
MATH 344: Differential Geometry
Local and global theory of curves, Frenet formulas. Local theory of surfaces, normal curvature, geodesics, Gaussian and mean curvatures, Theorema Egregium. Prerequisites: Mathematics 236 or permission of the instructor. 6 credit; Formal or Statistical Reasoning; offered Fall 2016 · R. Thompson 
MATH 349: Methods of Teaching Mathematics
Methods of teaching mathematics in grades 712. Issues in contemporary mathematics education. Regular visits to school classrooms and teaching a class are required. Prerequisites: Junior or senior standing and instructor permission 6 credit; Does not fulfill a curricular exploration requirement; offered Spring 2017 · S. Kennedy 
MATH 352: Topics in Abstract Algebra
An intensive study of one or more of the types of algebraic systems studied in Mathematics 342. Prerequisites: Mathematics 342 6 credit; Formal or Statistical Reasoning; offered Winter 2017 · E. Egge 
MATH 354: Topology
An introduction to the study of topological spaces. We develop concepts from pointset and algebraic topology in order to distinguish between different topological spaces up to homeomorphism. Topics include methods of construction of topological spaces; continuity, connectedness, compactness, Hausdorff condition; fundamental group, homotopy of maps.
Prerequisites: Mathematics 236 or instructor permisson 6 credit; Formal or Statistical Reasoning; not offered 2016–2017 
MATH 361: Complex Analysis
The theoretical foundations for the calculus of functions of a complex variable. Not open to students who have taken Mathematics 351 Functions of a Complex Variable. Prerequisites: Mathematics 321 or instructor permission 6 credit; Formal or Statistical Reasoning; not offered 2016–2017 
MATH 365: Stochastic Processes
Introduction to the main discrete and continuous time stochastic processes. Topics include Markov chains, Poisson process, continuous time Markov chains, Brownian motion. Use of R and/or Mathematica. Prerequisites: Mathematics 232 and 265 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Spring 2017 · B. Dobrow 
MATH 395: Topics in the Theory of Elliptic Curves
Introduction to the geometry and arithmetic of elliptic curves, with selected advanced topics. Introductory topics include the geometry of cubics, the group law on an elliptic curve, points of finite order, the group of rational points, heights and the MordellWeil theorem. Students will have the opportunity to explore through group projects advanced topics such as: integral points on elliptic curves; elliptic curves over finite fields; elliptic curves with complex multiplication; and Galois representations on torsion points.
Prerequisites: Mathematics 342, an equivalent Budapest or Moscow Semester in Mathematics course or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2017 · R. Jones 
MATH 400: Integrative Exercise
Either a supervised smallgroup research project or an individual, independent reading. Required of all senior majors. Prerequisites: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254 3 credit; S/NC; offered Fall 2016, Winter 2017, Spring 2017 · K. St. Clair, H. Wong, A. Poppick, L. Sattler, R. Jones, P. Shereen, S. Patterson, M. Krusemeyer, D. Haunsperger, L. Chihara